In order to avoid global parameter settings which are locally suboptimal, this paper argues for the inclusion of more knowledge (in particular procedural knowledge) into automatic speech recognition (ASR) systems. Two related fields provide inspiration for this new perspective: (a) ‘cognitive architectures’ indicate how experience with related problems can give rise to more (expert) knowledge, and (b) ‘case-based reasoning’ provides an extended framework which is relevant to any similarity-based recognition systems. The outcome of this analysis is a proposal for a new approach termed ‘Case-Based ASR’.
Bibliographic reference. Maier, Viktoria / Moore, Roger K. (2009): "The case for case-based automatic speech recognition", In INTERSPEECH-2009, 3027-3030.